Author Correction: A novel 2-phase residual U-net algorithm combined with optimal mass transportation for 3D brain tumor detection and segmentation (Scientific Reports, (2022), 12, 1, (6452), 10.1038/s41598-022-10285-x)

Wen Wei Lin; Jia Wei Lin; Tsung Ming Huang; Tiexiang Li; Mei Heng Yueh; Shing Tung Yau

doi:10.1038/s41598-022-12508-7

Author Correction: A novel 2-phase residual U-net algorithm combined with optimal mass transportation for 3D brain tumor detection and segmentation (Scientific Reports, (2022), 12, 1, (6452), 10.1038/s41598-022-10285-x)

Wen Wei Lin
, Jia Wei Lin
, Tsung Ming Huang^*
, Tiexiang Li^*
, Mei Heng Yueh
, Shing Tung Yau

^*此作品的通信作者

數學系

研究成果: 雜誌貢獻 › 評論/辯論 › 同行評審

摘要

In the original version of this Article, Wen-Wei Lin was incorrectly affiliated with ‘Nanjing Center for Applied Mathematics, Nanjing 211135, People’s Republic of China’. The correct affiliation is listed below. Department of Applied Mathematics, National Yang Ming Chiao Tung University, Hsinchu 300, Taiwan. The original Article has been corrected.

原文	英語
文章編號	9398
期刊	Scientific reports
卷	12
發行號	1
DOIs	https://doi.org/10.1038/s41598-022-12508-7
出版狀態	已發佈 - 2022 12月

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10.1038/s41598-022-12508-7

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Lin, W. W., Lin, J. W., Huang, T. M., Li, T., Yueh, M. H., & Yau, S. T. (2022). Author Correction: A novel 2-phase residual U-net algorithm combined with optimal mass transportation for 3D brain tumor detection and segmentation (Scientific Reports, (2022), 12, 1, (6452), 10.1038/s41598-022-10285-x). Scientific reports, 12(1), 文章 9398. https://doi.org/10.1038/s41598-022-12508-7

Author Correction: A novel 2-phase residual U-net algorithm combined with optimal mass transportation for 3D brain tumor detection and segmentation (Scientific Reports, (2022), 12, 1, (6452), 10.1038/s41598-022-10285-x). / Lin, Wen Wei; Lin, Jia Wei; Huang, Tsung Ming 等.
於: Scientific reports, 卷 12, 編號 1, 9398, 12.2022.

研究成果: 雜誌貢獻 › 評論/辯論 › 同行評審

Lin, WW, Lin, JW, Huang, TM, Li, T, Yueh, MH & Yau, ST 2022, 'Author Correction: A novel 2-phase residual U-net algorithm combined with optimal mass transportation for 3D brain tumor detection and segmentation (Scientific Reports, (2022), 12, 1, (6452), 10.1038/s41598-022-10285-x)', Scientific reports, 卷 12, 編號 1, 9398. https://doi.org/10.1038/s41598-022-12508-7

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abstract = "In the original version of this Article, Wen-Wei Lin was incorrectly affiliated with {\textquoteleft}Nanjing Center for Applied Mathematics, Nanjing 211135, People{\textquoteright}s Republic of China{\textquoteright}. The correct affiliation is listed below. Department of Applied Mathematics, National Yang Ming Chiao Tung University, Hsinchu 300, Taiwan. The original Article has been corrected.",

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AU - Lin, Wen Wei

AU - Lin, Jia Wei

AU - Huang, Tsung Ming

AU - Li, Tiexiang

AU - Yueh, Mei Heng

AU - Yau, Shing Tung

PY - 2022/12

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N2 - In the original version of this Article, Wen-Wei Lin was incorrectly affiliated with ‘Nanjing Center for Applied Mathematics, Nanjing 211135, People’s Republic of China’. The correct affiliation is listed below. Department of Applied Mathematics, National Yang Ming Chiao Tung University, Hsinchu 300, Taiwan. The original Article has been corrected.

AB - In the original version of this Article, Wen-Wei Lin was incorrectly affiliated with ‘Nanjing Center for Applied Mathematics, Nanjing 211135, People’s Republic of China’. The correct affiliation is listed below. Department of Applied Mathematics, National Yang Ming Chiao Tung University, Hsinchu 300, Taiwan. The original Article has been corrected.

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Author Correction: A novel 2-phase residual U-net algorithm combined with optimal mass transportation for 3D brain tumor detection and segmentation (Scientific Reports, (2022), 12, 1, (6452), 10.1038/s41598-022-10285-x)

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